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    Drought Analysis under Climate Change Using Copula

    Source: Journal of Hydrologic Engineering:;2013:;Volume ( 018 ):;issue: 007
    Author:
    Shahrbanou Madadgar
    ,
    Hamid Moradkhani
    DOI: 10.1061/(ASCE)HE.1943-5584.0000532
    Publisher: American Society of Civil Engineers
    Abstract: The joint behavior of drought characteristics under climate change is evaluated using the copula method, which has recently attained popularity in the analysis of complex hydrologic systems with correlated variables. Trivariate copulas are applied, in this study, to analyze the major drought variables, including duration, severity, and intensity, in Oregon’s Upper Klamath River Basin. Among the variables, results show that duration severity exhibits the strongest correlation, whereas duration intensity exhibits the least correlation. The impact of climate change on future droughts is evaluated using five general circulation models (GCMs) under one emission scenario. Despite more intense extreme events that are expected to occur in most parts of the globe in the future, the results of this study show that the Upper Klamath River Basin in the Pacific Northwest will experience less intense droughts affected by climate change. Compared with historical events, an overall decrease in drought duration and severity is estimated for this study area in the time period of 2020–2090 with maximum drought duration shown to decline from 8 to 5 months. Among the five GCMs employed in this study, GFDL-CM2.1 and CSIRO-MK3.0 are identified as the wettest and driest projections, respectively. High uncertainty associated with GCM products is demonstrated in the analysis of return period by means of bivariate copulas. However, all projections result in larger return periods (i.e., less frequent droughts) compared with historical droughts during the reference period.
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      Drought Analysis under Climate Change Using Copula

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    contributor authorShahrbanou Madadgar
    contributor authorHamid Moradkhani
    date accessioned2017-05-08T21:49:18Z
    date available2017-05-08T21:49:18Z
    date copyrightJuly 2013
    date issued2013
    identifier other%28asce%29he%2E1943-5584%2E0000552.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/63421
    description abstractThe joint behavior of drought characteristics under climate change is evaluated using the copula method, which has recently attained popularity in the analysis of complex hydrologic systems with correlated variables. Trivariate copulas are applied, in this study, to analyze the major drought variables, including duration, severity, and intensity, in Oregon’s Upper Klamath River Basin. Among the variables, results show that duration severity exhibits the strongest correlation, whereas duration intensity exhibits the least correlation. The impact of climate change on future droughts is evaluated using five general circulation models (GCMs) under one emission scenario. Despite more intense extreme events that are expected to occur in most parts of the globe in the future, the results of this study show that the Upper Klamath River Basin in the Pacific Northwest will experience less intense droughts affected by climate change. Compared with historical events, an overall decrease in drought duration and severity is estimated for this study area in the time period of 2020–2090 with maximum drought duration shown to decline from 8 to 5 months. Among the five GCMs employed in this study, GFDL-CM2.1 and CSIRO-MK3.0 are identified as the wettest and driest projections, respectively. High uncertainty associated with GCM products is demonstrated in the analysis of return period by means of bivariate copulas. However, all projections result in larger return periods (i.e., less frequent droughts) compared with historical droughts during the reference period.
    publisherAmerican Society of Civil Engineers
    titleDrought Analysis under Climate Change Using Copula
    typeJournal Paper
    journal volume18
    journal issue7
    journal titleJournal of Hydrologic Engineering
    identifier doi10.1061/(ASCE)HE.1943-5584.0000532
    treeJournal of Hydrologic Engineering:;2013:;Volume ( 018 ):;issue: 007
    contenttypeFulltext
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